MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
All
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
MCP server for SAM.gov: entity registration (UEI/CAGE lookups), exclusion and debarment checks, contract opportunities and sources sought, contract awards (FPDS replacement) with PIID lookup and modification history, federal hierarchy normalization, and FFATA subaward reporting.
Unified MCP Tool Graph: A Intelligence Layer for Dynamic Tool Retrieval. Instead of dumping 1000+ tools into a model's prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows
A desktop app that gives AI assistants full read/write access to your WorkFlowy account with fast local search. Caches your entire outline in local SQLite with full-text search—instant search across hundreds of thousands of nodes without hitting API rate limits.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
